Data Fusion Using a Factor Graph for Ship Tracking in Harbour Scenarios
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[1] James Llinas,et al. Handbook of Multisensor Data Fusion : Theory and Practice, Second Edition , 2008 .
[2] Li Ping,et al. The Factor Graph Approach to Model-Based Signal Processing , 2007, Proceedings of the IEEE.
[3] Greg Welch,et al. Welch & Bishop , An Introduction to the Kalman Filter 2 1 The Discrete Kalman Filter In 1960 , 1994 .
[4] Adam J. Kerr,et al. IALA Maritime Buoyage System and Other Aids to Navigation. Published by the International Association of Marine Aids to Navigation and Lighthouse Authorities. , 2011 .
[5] G. Forney,et al. Codes on graphs: normal realizations , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).
[6] X. Jin. Factor graphs and the Sum-Product Algorithm , 2002 .
[7] X. R. Li,et al. Survey of maneuvering target tracking. Part I. Dynamic models , 2003 .
[8] Pascal Vasseur,et al. Introduction to Multisensor Data Fusion , 2005, The Industrial Information Technology Handbook.
[9] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[10] G.D. Forney,et al. Codes on graphs: Normal realizations , 2000, IEEE Trans. Inf. Theory.
[11] Ludmila Mihaylova,et al. Adaptive Interacting Multiple Model Algorithm for Manoeuvring Ship Tracking 1 , 1998 .
[12] F. A. N. Palmieri,et al. Harbour surveillance with cameras calibrated with AIS data , 2013, 2013 IEEE Aerospace Conference.